Quality-aware Service Selection Approach for Adaptive Context Recognition in IoT
Author:
Affiliation:
1. Technische Universität Berlin, Berlin, Germany
2. CODE University of Applied Sciences, Berlin, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3365871.3365874
Reference20 articles.
1. Opportunistic Sensing in Wireless Sensor Networks: Theory and Application
2. The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition
3. IBM Corporation "An Architectural Blueprint for Autonomic Computing " IBM Corporation (2006). IBM Corporation "An Architectural Blueprint for Autonomic Computing " IBM Corporation (2006).
4. E. Eryilmaz F. Trollmann and S. Albayrak "An architecture for dynamic context recognition in an autonomous driving testing environment " In: 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA) pp. 9--16 Nov 2018. E. Eryilmaz F. Trollmann and S. Albayrak "An architecture for dynamic context recognition in an autonomous driving testing environment " In: 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA) pp. 9--16 Nov 2018.
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3. Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware;Sensors;2022-02-19
4. Adaptive Service Selection for Enabling the Mobility of Autonomous Vehicles;Lecture Notes in Computer Science;2019
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